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Paper Abstract and Keywords
Presentation 2011-01-26 10:55
Research of Automatic Prediction of Chaos Time-Series Data by 2D Lattice Coupled Oscillators System
Tatsuya Sasaki, Masayuki Yamauchi (Hiroshima Inst. of Tech.), Yoshifumi Nishio (Tokushimahima Univ.) NLP2010-159 NC2010-123
Abstract (in Japanese) (See Japanese page) 
(in English) We can see the time-series data in this natural world,
and human economic activity has a lot of time-series data.
If accuracy of weather forecast is very high, we can avert from disaster.
Therefore, we can say the time-series prediction is very important.
Recently, many researches of prediction are carried out.
In these study, statistics methods or methods of making an equation are often used.
In our previous study, we proposed a automatic prediction system by 3x3 coupled van der Pol oscillators system.
The system was adjusted by manual and automatic.
All solutions in a limited parametric space were automatically found.
Therefore, this method automatically adjusted only 4 parameters and other parameters are adjusted by hand motion.
The accuracy of prediction was high, because optimization of human power is used.
However, calculation(prediction) time is long.

In this study, we propose a new automatic prediction method by 3x3 van der Pol oscillator's system.
This new method obtains a solution by steepest descent method, and is automatically adjust all parameter.
Keyword (in Japanese) (See Japanese page) 
(in English) future prediction / time-series data / van der Pol oscillator / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 387, NLP2010-159, pp. 193-198, Jan. 2011.
Paper # NLP2010-159 
Date of Issue 2011-01-17 (NLP, NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NLP2010-159 NC2010-123

Conference Information
Committee NC NLP  
Conference Date 2011-01-24 - 2011-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokakido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2011-01-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Research of Automatic Prediction of Chaos Time-Series Data by 2D Lattice Coupled Oscillators System 
Sub Title (in English)  
Keyword(1) future prediction  
Keyword(2) time-series data  
Keyword(3) van der Pol oscillator  
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1st Author's Name Tatsuya Sasaki  
1st Author's Affiliation Hiroshima Institute of Technology (Hiroshima Inst. of Tech.)
2nd Author's Name Masayuki Yamauchi  
2nd Author's Affiliation Hiroshima Institute of Technology (Hiroshima Inst. of Tech.)
3rd Author's Name Yoshifumi Nishio  
3rd Author's Affiliation The University of Tokushima (Tokushimahima Univ.)
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Speaker Author-1 
Date Time 2011-01-26 10:55:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2010-159, NC2010-123 
Volume (vol) vol.110 
Number (no) no.387(NLP), no.388(NC) 
Page pp.193-198 
#Pages 6 
Date of Issue 2011-01-17 (NLP, NC) 

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